@MISC{
	kddwebsite,
      TITLE = "KDD Cup 2009", 
      NOTE = "\url{http://www.kddcup-orange.com/}"
}
@MISC{
       weka,
     TITLE = "Weka",
     NOTE = "\url{http://www.cs.waikato.ac.nz/ml/weka/}"
}

@MISC{
	nbayes,
      TITLE = "Naive Bayes classifier", 
      NOTE = "\url{http://en.wikipedia.org/wiki/Naive_Bayesian_classification}"
}
@MISC{
       arff,
     TITLE = "ARFF FORMAT",
     NOTE= "\url{http://www.cs.waikato.ac.nz/ml/weka/arff.html}"
}

@MISC{
	dtree,
      TITLE = "Decision Tree", 
      NOTE = "\url{http://en.wikipedia.org/wiki/Decision_tree}"
}

@article{quinlan,
  title={{C4. 5: Programs for machine learning. 1993}},
  author={Quinlan, JR},
  journal={Morgan Kauffman, San Mateo, CA}
}

@MISC{
	svm,
      TITLE = "Support Vector Machines", 
      NOTE = "\url{http://en.wikipedia.org/wiki/Support_vector_machine}"
}
@MISC{
       entropy,
     TITLE = "Information Theory",
     NOTE= "\url{http://en.wikipedia.org/wiki/Entropy}"

}

@conference{chawla,
  title={{C4. 5 and imbalanced data sets: investigating the effect of sampling method, probabilistic estimate, and decision tree structure}},
  author={Chawla, N.V.},
  booktitle={Proceedings of the ICML},
  volume={3},
  year={2003}
}

@conference{weiss,
  title={{Cost-sensitive learning vs. sampling: Which is best for handling unbalanced classes with unequal error costs}},
  author={Weiss, G. and McCarthy, K. and Zabar, B.},
  booktitle={Int. Conf. on Data Mining},
  pages={35--41},
  year={2007}
}

@MISC{
       cross,
     TITLE = "10-fold Cross validation",
     NOTE= "\url{http://en.wikipedia.org/wiki/Root-mean-square_error_of_cross-validation}"
}
@article{smote,
  title={{SMOTE: synthetic minority over-sampling technique}},
  author={Chawla, N.V. and Bowyer, K.W. and Hall, L.O. and Kegelmeyer, W.P.},
  journal={Journal of Artificial Intelligence Research},
  volume={16},
  number={1},
  pages={321--357},
  year={2002}
}
@article{ting,
  title={{Boosting trees for cost-sensitive classifications}},
  author={Ting, K.M. and Zheng, Z. and University of Waikato and Dept. of Computer Science},
  journal={Lecture notes in computer science},
  pages={190--195},
  year={1998},
  publisher={Springer}
}

@MISC{
       bagging,
     TITLE = "Bagging",
     NOTE= "\url{http://en.wikipedia.org/wiki/Bootstrap_aggregating}"
}

@MISC{
     svmlight,
   TITLE = "SVM Light Website",
   NOTE= "\url{http://svmlight.joachims.org/}"
}


@misc{guide_svm,
 title={{A practical guide to support vector classification}},
 author={Hsu, C.W. and Chang, C.C. and Lin, C.J. and others},
 year={2003}
}

@article{zhangbayes,
  title={{The optimality of naive Bayes}},
  author={Zhang, H.},
  journal={A A},
  volume={1},
  number={2},
  pages={3}
}


@article{kernel,
  title={{Making large scale SVM learning practical}},
  author={Joachims, T.},
  year={1999},
  publisher={Universit{\"a}t Dortmund}
}


@article{fast_svm,
  title={{Learning to classify text using support vector machines: Methods, theory, and algorithms}},
  author={Joachims, T.},
  journal={Computational Linguistics},
  volume={29},
  number={4}
}

@article{domingos1996bic,
  title={{Beyond independence: Conditions for the optimality of the simple Bayesian classifier}},
  author={Domingos, P. and Pazzani, M.},
  journal={Machine Learning},
  year={1996}
}
@article{fayyad1992hcv,
  title={{On the handling of continuous-valued attributes in decision tree generation}},
  author={Fayyad, U.M. and Irani, K.B.},
  journal={Machine Learning},
  volume={8},
  number={1},
  pages={87--102},
  year={1992},
  publisher={Springer}
}


@book{normalization,
  title={{Data mining: concepts and techniques}},
  author={Han, J. and Kamber, M.},
  year={2006},
  publisher={Morgan Kaufmann}
}

